DEVELOPMENT... OpenML
Run
145830

Run 145830

Task 39 (Supervised Classification) sonar Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_J48(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_J48(2)_I160
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8544
Per class
F measure
0.84
Per class
Kappa
0.6785
KB relative information score
141.5919
Mean absolute error
0.1586
Mean prior absolute error
0.4978
Number of instances
208
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8455
Per class
Predictive accuracy
0.8413
Prior entropy
0.9968
Recall
0.8413
Per class
Relative absolute error
0.3186
Root mean prior squared error
0.4989
Root mean squared error
0.397
Root relative squared error
0.7959
SciMark benchmark
889.3853
UserCPU time millis
3770
UserCPU time millis testing
20
UserCPU time millis training
3750